{"id":"https://openalex.org/W4200130840","doi":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625540","title":"A Hybrid Intrusion Detection System Based on Machine Learning under Differential Privacy Protection","display_name":"A Hybrid Intrusion Detection System Based on Machine Learning under Differential Privacy Protection","publication_year":2021,"publication_date":"2021-09-01","ids":{"openalex":"https://openalex.org/W4200130840","doi":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625540"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2021-fall52928.2021.9625540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625540","pdf_url":null,"source":{"id":"https://openalex.org/S4363607774","display_name":"2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103187217","display_name":"Jibo Shi","orcid":"https://orcid.org/0000-0001-9694-0790"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jibo Shi","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038594863","display_name":"Yun Lin","orcid":"https://orcid.org/0000-0003-1379-9301"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Lin","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082391073","display_name":"Zherui Zhang","orcid":"https://orcid.org/0009-0000-3385-6161"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zherui Zhang","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005228053","display_name":"Shui Yu","orcid":"https://orcid.org/0000-0003-4485-6743"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shui Yu","raw_affiliation_strings":["School of Software Engineering, University of Technology Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, University of Technology Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103187217"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":2.166,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88121752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.832456648349762},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.7950159311294556},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.776526153087616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6578441262245178},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5655876994132996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5534614324569702},{"id":"https://openalex.org/keywords/local-outlier-factor","display_name":"Local outlier factor","score":0.5481328368186951},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.49820971488952637},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.45116522908210754},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42066583037376404},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3854232430458069}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.832456648349762},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7950159311294556},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.776526153087616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6578441262245178},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5655876994132996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5534614324569702},{"id":"https://openalex.org/C169029474","wikidata":"https://www.wikidata.org/wiki/Q387942","display_name":"Local outlier factor","level":3,"score":0.5481328368186951},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.49820971488952637},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.45116522908210754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42066583037376404},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3854232430458069}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2021-fall52928.2021.9625540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2021-fall52928.2021.9625540","pdf_url":null,"source":{"id":"https://openalex.org/S4363607774","display_name":"2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W2509467699","https://openalex.org/W2517028219","https://openalex.org/W2584956383","https://openalex.org/W2744999500","https://openalex.org/W2775103799","https://openalex.org/W2962741900","https://openalex.org/W2963629772","https://openalex.org/W3046138161","https://openalex.org/W4245460974","https://openalex.org/W6639246211","https://openalex.org/W6733164365"],"related_works":["https://openalex.org/W2770832849","https://openalex.org/W205872183","https://openalex.org/W114119537","https://openalex.org/W2904893831","https://openalex.org/W2912112202","https://openalex.org/W3117098906","https://openalex.org/W4304761972","https://openalex.org/W2889390244","https://openalex.org/W3197833032","https://openalex.org/W2787338698"],"abstract_inverted_index":{"With":[0],"the":[1,66,72,112,150],"development":[2],"of":[3,11,24,36,52,68,74],"network,":[4],"network":[5,25,114],"security":[6],"has":[7,19],"become":[8,20],"a":[9,33,49,131],"topic":[10],"increasing":[12],"concern.":[13],"Recent":[14],"years,":[15],"machine":[16,29,83,137,160],"learning":[17,30,84,138,161],"technology":[18,31],"an":[21,98],"effective":[22],"means":[23],"intrusion":[26,69,100,115],"detection.":[27,70],"However,":[28],"requires":[32],"large":[34],"amount":[35],"data":[37,42,62,117,123,148],"for":[38],"training,":[39],"and":[40,76,82,92,129],"training":[41],"often":[43],"contains":[44],"privacy":[45,53,63,75,81,105,122,127],"information,":[46],"which":[47],"brings":[48],"great":[50],"risk":[51],"leakage.":[54],"At":[55],"present,":[56],"there":[57],"are":[58],"few":[59],"researches":[60],"on":[61,136],"protection":[64],"in":[65],"field":[67],"Regarding":[71],"issue":[73],"security,":[77],"we":[78],"combine":[79],"differential":[80,121],"algorithms,":[85],"including":[86],"One-class":[87],"Support":[88],"Vector":[89],"Machine":[90],"(OCSVM)":[91],"Local":[93],"Outlier":[94],"Factor(LOF),":[95],"to":[96,111,119,139,158],"propose":[97],"hybrid":[99,132,151],"detection":[101,116,155],"system":[102],"(IDS)":[103],"with":[104,125],"protection.":[106],"We":[107],"add":[108],"Laplacian":[109],"noise":[110],"original":[113],"set":[118],"get":[120],"sets":[124],"different":[126],"budgets,":[128],"proposed":[130],"IDS":[133,152],"model":[134],"based":[135],"verify":[140],"their":[141],"utility.":[142],"Experiments":[143],"show":[144],"that":[145],"while":[146],"protecting":[147],"privacy,":[149],"can":[153],"achieve":[154],"accuracy":[156],"comparable":[157],"traditional":[159],"algorithms.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}